Image-to-Video
Diffusers
Safetensors
English
Chinese
video generation
conversational video generation
talking human video generation
Instructions to use MeiGen-AI/MeiGen-MultiTalk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MeiGen-AI/MeiGen-MultiTalk with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MeiGen-AI/MeiGen-MultiTalk", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58238f07200140daf2c840b62f081dab21dac2e17b5595f3ccbea7afb1561a6f
- Size of remote file:
- 19.1 GB
- SHA256:
- dc13ca2d2d20bb1534a59f6f0d3db4a209fc1eb689d9aefa5188b8531093ddbb
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